Luca Benini
Identifiers
- name variant Luca Benini 0.60 · backfill
Papers (67)
- CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees cs.AR · 2026 · author #7
- O-POPE: High-Frequency Pipelined Outer Product based GEMM acceleration with minimal buffering overhead cs.AR · 2026 · author #3
- MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes cs.CV · 2026 · author #3
- RDKV: Rate-Distortion Bit Allocation for Joint Eviction and Quantization of the KV Cache cs.LG · 2026 · author #3
- Accelerating Precise End-to-End Simulation: Latency-Sensitive Many-core System Modeling cs.AR · 2026 · author #8
- A Time-Synchronized Video Reference System for Data Analysis of Body-Attached Sensor Nodes in Outdoor Scenarios eess.SP · 2026 · author #6
- Monte Cimone v3: Where RISC-V Stands in High-Performance Computing cs.DC · 2026 · author #6
- BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals cs.LG · 2026 · author #8
- EPAC: The Last Dance cs.AR · 2026 · author #34
- End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables cs.LG · 2026 · author #6
- MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs cs.DC · 2026 · author #8
- TinyDEVO: Deep Event-based Visual Odometry on Ultra-low-power Multi-core Microcontrollers eess.IV · 2026 · author #4
- PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence cs.AI · 2026 · author #5
- A Lightweight High-Throughput Collective-Capable NoC for Large-Scale ML Accelerators cs.AR · 2026 · author #6
- Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs cs.CV · 2026 · author #3
- Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration cs.CV · 2025 · author #5
- 5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory cs.LG · 2019 · author #5
- Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers cs.LG · 2019 · author #3
- Additive Noise Annealing and Approximation Properties of Quantized Neural Networks cs.LG · 2019 · author #5
- Embedding Principal Component Analysis for Data Reductionin Structural Health Monitoring on Low-Cost IoT Gateways eess.SP · 2019 · author #4
- Demo Abstract: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications cs.NI · 2019 · author #4
- Slotted ALOHA on LoRaWAN - Design, Analysis, and Deployment cs.NI · 2019 · author #4
- A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring cs.NI · 2019 · author #4
- Optimally Scheduling CNN Convolutions for Efficient Memory Access cs.NE · 2019 · author #3
- The ANTAREX Domain Specific Language for High Performance Computing cs.DC · 2019 · author #5
- Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces eess.SP · 2018 · author #3
- NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI cs.DC · 2018 · author #3
- Pible: Battery-Free Mote for Perpetual Indoor BLE Applications cs.NI · 2018 · author #4
- QUENN: QUantization Engine for low-power Neural Networks cs.NE · 2018 · author #3
- Robust identification of thermal models for in-production High-Performance-Computing clusters with machine learning-based data selection cs.LG · 2018 · author #3
- Extended Bit-Plane Compression for Convolutional Neural Network Accelerators cs.CV · 2018 · author #2
- KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs cs.NI · 2018 · author #4
- On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver cs.NI · 2018 · author #4
- Slotted ALOHA Overlay on LoRaWAN: a Distributed Synchronization Approach cs.NI · 2018 · author #3
- One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing eess.SP · 2018 · author #3
- Scalable and Efficient Virtual Memory Sharing in Heterogeneous SoCs with TLB Prefetching and MMU-Aware DMA Engine cs.AR · 2018 · author #4
- CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams cs.CV · 2018 · author #2
- On the Feasibility of FPGA Acceleration of Molecular Dynamics Simulations cs.DC · 2018 · author #2
- Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory cs.ET · 2018 · author #2
- XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference cs.NE · 2018 · author #3
- COUNTDOWN: a Run-time Library for Performance-Neutral Energy Saving in MPI Applications cs.DC · 2018 · author #5
- Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features eess.SP · 2018 · author #5
- DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring for Data-Center Analytics, Automation and Control (Extended) cs.DC · 2018 · author #3
- A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones cs.RO · 2018 · author #6
- PULP-HD: Accelerating Brain-Inspired High-Dimensional Computing on a Parallel Ultra-Low Power Platform eess.SP · 2018 · author #5
- Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy cs.CV · 2018 · author #4
- Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine cs.DC · 2018 · author #4
- XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks cs.CV · 2018 · author #5
- An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier cs.HC · 2018 · author #11
- A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets cs.DC · 2018 · author #4
- HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA cs.AR · 2017 · author #5
- An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm cs.AR · 2017 · author #6
- A Transprecision Floating-Point Platform for Ultra-Low Power Computing cs.AR · 2017 · author #5
- Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? cs.OH · 2017 · author #3
- Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference cs.DC · 2017 · author #5
- Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS eess.IV · 2017 · author #7
- A sub-mW IoT-endnode for always-on visual monitoring and smart triggering cs.OH · 2017 · author #4
- CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data cs.CV · 2017 · author #3
- Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations cs.LG · 2017 · author #6
- Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes cs.AR · 2017 · author #4
- An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics cs.AR · 2016 · author #12
- CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression cs.CV · 2016 · author #3
- Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks cs.CV · 2016 · author #4
- Deep Structured Features for Semantic Segmentation cs.CV · 2016 · author #5
- A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices cs.AR · 2016 · author #9
- YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration cs.AR · 2016 · author #4
- Origami: A 803 GOp/s/W Convolutional Network Accelerator cs.CV · 2015 · author #2
Mentions
- 2606.02358 #7 · arxiv_oai · confidence 0.70 Luca Benini
- 2606.02333 #3 · arxiv_oai · confidence 0.70 Luca Benini
- 2601.22709 #3 · arxiv_oai · confidence 0.70 Luca Benini
- 2605.22831 #6 · arxiv_oai · confidence 0.70 Luca Benini
- 2605.15423 #3 · arxiv_oai · confidence 0.70 Luca Benini
Frequent Coauthors
- Lukas Cavigelli 16 shared papers
- Davide Rossi 9 shared papers
- Francesco Conti 9 shared papers
- Abbas Rahimi 7 shared papers
- Andrea Bartolini 6 shared papers
- Alessio Burrello 5 shared papers
- Davide Brunelli 4 shared papers
- Manuele Rusci 4 shared papers
- Michael Schaffner 4 shared papers
- Michele Magno 4 shared papers
- Pasquale Davide Schiavone 4 shared papers
- Yawei Li 4 shared papers
- Andrea Marongiu 3 shared papers
- Daniele Palossi 3 shared papers
- Igor Loi 3 shared papers
- Renzo Andri 3 shared papers
- Tommaso Polonelli 3 shared papers
- Alessandro Capotondi 2 shared papers
- Amy L. Murphy 2 shared papers
- Andreas Kurth 2 shared papers